Michael Schomaker
Heisenberg Professor for Biostatistics at the Department of Statistics, LMU München | causal inference - missing data - HIV
michaelschomaker.github.io
@christianedidden.bsky.social
PhD student at LMU Munich, sociology department. Interested in causal inference, social inequality, and mental health. Also a historian and applied statistician.
@bemcolloquium.bsky.social
BEMC is a platform for all interested in epidemiology to explore methods and share ideas in regular talks and journal club sessions Our events are hybrid and open to epi methods enthusiasts around the world! More info: https://bemcolloquium.com #EpiSky
@gelovennan.bsky.social
biostatistician * causal inference * causal prediction * time-to-event outcomes * observational data & trials * @LUMC_Leiden
@jiaxinzhang.bsky.social
Postdoctoral biostatistician @unimelb @MCRI_for_kids @vicbiostat | Interests: causal inference, missing data
@arikreuter.bsky.social
Max Planck Institute for Intelligent Systems https://arikreuter.github.io/
@kellyvanlancker.bsky.social
Postdoc at Ghent University. Interested in causal inference, clinical and pragmatic trials. Kellyvanlancker.com
@louisepoppe.bsky.social
FWO postdoc | Experimental and theoretical psychologist. Interested in behaviour change, causal inference, and research reproducibility.
@statsforbios.bsky.social
Statistics for biologists, medics, statisticians. Anyone really. By Tim Lucas, lecturer in epi/stats.
@dingdingpeng.the100.ci
Personality psych & causal inference @UniLeipzig. I like all things science, beer, & puns. Even better when combined! Part of http://the100.ci, http://openscience-leipzig.org
@jlrohmann.bsky.social
PhD | Epidemiology, Applied #CausalInference, #PublicHealth, Stroke research, improving quality, peer review, higher ed & research assessment reform @ Charité in #Berlin Likes: improving science & improv comedy #EpiSky #Epidemiology #HigherEd #AcademicSky
@joy-shi.bsky.social
Assistant Professor @mgbresearch.bsky.social and @causalab.bsky.social. Interested in epidemiology, causal inference and pedagogy.
@ehwoza.bsky.social
Eh!woza operates at the intersection of science communication, youth advocacy, community engagement, and skills development to merge the biomedicine of disease with its social impact.
@mcknaus.bsky.social
Assistant Professor of "Data Science in Economics" at Uni Tübingen. Interested in the intersection of causal inference and so-called machine learning. Teaching material: https://github.com/MCKnaus/causalML-teaching Homepage: mcknaus.github.io
@davidruegamer.bsky.social
Associate Prof @ LMU Munich PI @ Munich Center for Machine Learning Ellis Member Associate Fellow @ relAI ----- https://davidruegamer.github.io/ | https://www.muniq.ai/ ----- BNNs, UQ in DL, DL theory (Overparam, Implicit Bias, Optim), Sparsity
@berkeleyctml.bsky.social
CTML, at UC Berkeley, is an interdisciplinary research center for advancing, implementing, and disseminating methodology to address problems arising in public health and clinical medicine. https://linktr.ee/ctml_ucberkeley
@assenmacher.bsky.social
Postdoc | #NLProc researcher | @slds-lmu.bsky.social | @berd-nfdi.bsky.social
@cebu-melbourne.bsky.social
We provide high-level #biostatistics expertise and training to child health researchers at Murdoch Children's Research Institute & University of Melbourne & conduct methodological research @vicbiostat.bsky.social
@vicbiostat.bsky.social
The Victorian Centre for Biostatistics. A collaboration between the Murdoch Children's Research Institute, Monash University and The University of Melbourne. https://www.vicbiostat.org.au/
@rush-099.bsky.social
Postdoctoral biostatistician at Murdoch Children's Research Institute and University of Melbourne★Biostatistics research : causal inference and missing data problems in child health, population allergy and social epidemiology ★she/her ★Views my own
@larsvanderlaan3.bsky.social
Ph.D. Student @uwstat; Research fellowship @Netflix; visiting researcher @UCJointCPH; M.A. @UCBStatistics - machine learning; calibration; semiparametrics; causal inference. https://larsvanderlaan.github.io
@lmu-osc.bsky.social
since 2017, advancing open science at LMU University in Munich and beyond. managing director: Felix Schoenbrodt @nicebread.bsky.social scientific coordinator: Malika Ihle @malikaihle.bsky.social student assistant: Gracia Pruem @muchasgracia.bsky.social
@vamrhein.bsky.social
Ecology, conservation, statistics, reproducibility https://camargue.unibas.ch Retire statistical significance https://nature.com/articles/d41586-019-00857-9
@calebhmiles.bsky.social
Assistant professor of biostatistics at Columbia University Casual inference, statistics, etc Pauca sed Matura
@vballerini.bsky.social
Research associate @harvard.edu @hsph.harvard.edu Dept of Biostatistics | Bayesian causal inference New on Bluesky 🦋
@iedeaglobal.bsky.social
International epidemiology Databases to Evaluate AIDS global cohort consortium #HIV #AIDSisnotover
@jurodemann.bsky.social
http://www.julian-rodemann.de | PhD student in statistics @LMU_Muenchen | currently @HarvardStats
@mauolivares.bsky.social
Research Worker in Econometrics at LMU Munich | Previously UCL, UIUC and ITAM | Mexicano 🇲🇽
@uctcider.bsky.social
CIDER conducts multi-disciplinary research on the intersection between infectious disease and comorbidities in Southern Africa. The Centre is located within the School of Public Health at the University of Cape Town
@danielnevo.bsky.social
Associate Prof. Tel Aviv University, Stat & OR Department. (Bio)statistics, causal inference, etc.
@juhakarvanen.bsky.social
Professor of Statistics at University of Jyväskylä. Interested in causal models, study design, and missing data. Homepage: http://users.jyu.fi/~jutakarv/
@margaritamb.bsky.social
Professor of Biostatistics. University of Melbourne & Murdoch Children’s Research Institute. Research in causal inference and missing data methods + child, lifecourse and social epidemiology
@lottameijerink.bsky.social
PhD student @ Julius Center, UMC Utrecht | causal inference 🤝clinical prediction
@nshejazi.bsky.social
assistant professor of biostatistics at harvard — causal inference, machine learning, and semi-parametric estimation, mostly for questions in infectious disease science and climate change avid runner, concertgoer, timezone hopper https://nimahejazi.org
@eurocim.bsky.social
The European Causal Inference Meeting - causal inference in health, economic and social science.
@maritbveierod.bsky.social
Professor in Biostatistics, Oslo Centre for Biostatistics and Epidemiology-OCBE, Dept. of Biostatistics, Univ. of Oslo, @ocbe.bsky.social @uio.no | Life-science epidemiology https://www.med.uio.no/imb/english/research/groups/epidemiological-studies/
@denistalbotbiostat.bsky.social
Professor of biostatistics at Université Laval, causal inference enthusiast, dog-lover
@ocbe.bsky.social
OCBE develops statistical, machine learning and epidemiological methods to progress science and contribute to a better health @uio.no and Oslo University Hospital https://www.med.uio.no/imb/english/research/centres/ocbe/